Results 41 to 50 of about 16,981 (186)
Iterative MILP methods for vehicle control problems [PDF]
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004 Mixed integer linear programming (MILP) is a powerful tool for planning and control problems because of its modeling capability and the availability of good solvers. However, for large models, MILP methods suffer computationally. In this paper, we present iterative MILP algorithms that address this issue. We consider trajectory generation problems with
Matthew G. Earl, Raffaello D'Andrea
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Frontiers in Energy Research, 2021 This paper investigates modeling methods with thermal network representation under the scope of the optimal design and operation of Distributed Multi-Energy System (D-MES).
Danhong Wang +6 more
doaj +1 more source
An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem
Complexity, 2023 The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver.
Skander Htiouech +4 more
doaj +1 more source
MILP models for the Dial-a-ride problem with transfers
EURO Journal on Transportation and Logistics, 2021 Automated vehicles are becoming a reality. Expectations are that AVs will ultimately transform personal mobility from privately owned assets to on-demand services. This transformation will enhance the possibility of sharing trips, leading to shared AVs (SAVs).
Jacopo Pierotti, J. Theresia van Essen
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International Journal of Production Management and EngineeringCut Order Planning (COP) optimizes production costs in the apparel industry by efficiently cutting fabric for garments. This complex process involves challenging decision-making due to order specifications and production constraints.
Sharif Al-Mahmud +3 more
doaj +1 more source
AIChE Journal, EarlyView.Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
A continuous-time unit-based MILP formulation for the resource-constrained project scheduling problem [PDF]
, 2018 In the basic resource-constrained project scheduling problem RCPSP, one aims at selecting starting times for the tasks of a project such that the project makespan is minimized and the project schedule is precedence- and resource-feasible.
Trautmann, Norbert +5 more
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Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process
Chemie Ingenieur Technik, EarlyView.This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer +5 more
wiley +1 more source